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Owen SM, Sieg CH, Fulé PZ, et al. Persistent effects of fire severity on ponderosa pine regeneration niches and seedling growth. Forest Ecology and Management. 2020;477.PDF icon rmrs_2020_owen_s001.pdf (2.07 MB)
Ottmar RD. Wildland fire emissions, carbon, and climate: Modeling fuel consumption. Forest Ecology and Management. 2014;317.
Ortiz MJLopez. Post-fire management affects species composition but not Douglas-fir regeneration in the Klamath Mountains Marcey T, ed. Forest Ecology and Management. 2019;432.
Olson RL. Wildland fire management: insights from a foresight panel. (Bengston DN, ed.).; 2015:44. Available at: http://www.treesearch.fs.fed.us/pubs/48581.
Olsen C, Sharp E. Building community-agency trust in fire affected communities in Australia and the United States. International Journal of Wildland Fire. 2013;On-line early.
Olsen C, Shindler B. Citizen-Agency Interactions in Planning and Decisionmaking After Large Fires. 2007.PDF icon Decision-making after the fire.pdf (773.13 KB)
Oliver M. A bird’s-eye view: Land-use planning and assessments in Oregon and Washington. (Gray A, ed.).; 2015. Available at: http://www.fs.fed.us/pnw/sciencef/scifi172.pdf.
Oliver M. Mapping the Future: U.S. Exposure to Multiple Landscape Stressors. Portland: US Department of Agriculture, Forest Service, Pacific Northwest Research Station; 2017.PDF icon scifi197.pdf (6.8 MB)
Odion DC. Areas of Agreement and Disagreement Regarding Ponderosa Pine and Mixed Conifer Forest Fire Regimes: A Dialogue with Stevens et al. Hanson CT, ed. PLOS One. 2016;11(5).
O'Laughlin J. Wildland Fire management: Are actively managed forests more resilient than passively managed forests?. University of Idaho; 2013:15.PDF icon PAG_IB_15_wildfire-resiliency_active-passive-management.pdf (383.11 KB)
O'Connor CD. An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management Calkin DE, ed. International Journal of Wildland Fire. 2017;26(7).